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Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach

Overview of attention for article published in BMC Infectious Diseases, February 2015
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Title
Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach
Published in
BMC Infectious Diseases, February 2015
DOI 10.1186/s12879-015-0763-9
Pubmed ID
Authors

Peng Jia, Andrew Joyner

Abstract

BackgroundBrucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks.MethodsThe aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951¿2010.ResultsResults indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments.ConclusionsThis study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Master 10 14%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Student > Bachelor 3 4%
Other 12 17%
Unknown 18 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 17%
Veterinary Science and Veterinary Medicine 10 14%
Medicine and Dentistry 7 10%
Biochemistry, Genetics and Molecular Biology 4 6%
Nursing and Health Professions 3 4%
Other 14 20%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2015.
All research outputs
#18,395,201
of 22,785,242 outputs
Outputs from BMC Infectious Diseases
#5,595
of 7,670 outputs
Outputs of similar age
#256,622
of 352,352 outputs
Outputs of similar age from BMC Infectious Diseases
#109
of 154 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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